enterprise architect

Jorofy Private Limited

ENUM is Hiring in Oman | Enterprise System Architect &amp; Digital Transformation Consultant (On-Site)We are looking for a highly experienced professional to lead enterprise architecture and digital transformation initiatives across government and enterprise environments.Enterprise System Architect &amp; Digital Transformation ConsultantLocation: Oman (On-site)Key Skills &amp; Experience:✔ Enterprise Architecture &amp; Solution Design (TOGAF preferred) ✔ Microsoft .NET, Azure, Microservices &amp; API-first architecture ✔ AI/ML integration, LLMs, RAG, and intelligent systems design ✔ DevOps, CI/CD pipelines, Docker &amp; cloud-native practices ✔ Enterprise integration, system modernization &amp; governance ✔ Experience in government or large-scale enterprise projectsKey Responsibilities:✔ Design scalable and secure enterprise architectures ✔ Lead digital transformation and modernization initiatives ✔ Architect AI-enabled and data-driven platforms ✔ Define integration frameworks and technical standards ✔ Oversee end-to-end software engineering and deliveryInterested candidates may share their CV at: careers@enums.coCandidates with GCC or government project experience will be preferred.#Hiring #OmanJobs #EnterpriseArchitecture #DigitalTransformation #MicrosoftAzure #DotNet #AI #SystemArchitecture #TechnologyJobsEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Enterprise Architecture &amp; Solution Design : 10 years (Required)</li></ul>Work Location: In person

Enterprise System Architect & Digital Transformation Consultant

Sprinklr

<div>
 Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale &mdash; across every customer touchpoint.
 
 
 By combining human instinct with the speed and efficiency of AI, Sprinklr helps brands earn trust and loyalty through personalized, seamless, and efficient customer interactions. Sprinklr&rsquo;s unified platform provides powerful solutions for every customer-facing team &mdash; spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management &mdash; enabling enterprises to unify data, break down silos, and act on real-time insights.
 
 
 Today, 1,900+ enterprises and 60% of the Fortune 100 rely on Sprinklr to help them deliver consistent, trusted customer experiences worldwide.
 
 
 
 Job Description
 
 
 
 
 Lead Solutions Architect &ndash; Platform, Data &amp; AI
 
 
 
 Sprinklr seeks a Lead Solutions Architect &ndash; Platform, Data, AI &amp; Integrations to partner with sales, product, and customer success to drive revenue by architecting, demonstrating, and operationalizing Sprinklr&rsquo;s Unified-CXM platform across enterprise technology, customer data, knowledge, and AI ecosystems.
 
 
 Solution Architects at Sprinklr combine deep technical expertise with strategic business consulting to uncover customer needs and position Sprinklr&rsquo;s platform, integration, customer data, knowledge, and AI capabilities. They provide trusted advisory guidance and rapidly map customer architectures across enterprise systems, customer data layers, knowledge frameworks, governance models, and emerging agentic AI ecosystems.
 
 
 This role focuses on Sprinklr&rsquo;s platform integration layer, customer data architecture, knowledge and experience design, enterprise AI/ML alignment, and agentic orchestration capabilities &mdash; including connector ecosystems, native import/export workflows, open APIs, unified customer intelligence, knowledge activation, automation, and intelligent autonomous workflows.
 
 
 
 What You'll Do
 
 
 
 
 Platform, Integration &amp; Customer Data Architecture
 
 
 
 <ul>
 <li>
 Architect end-to-end platform, customer data, knowledge, and integration solutions leveraging Sprinklr&rsquo;s connector ecosystem, unified customer intelligence frameworks, native import/export capabilities, knowledge systems, and REST API ecosystem.
 </li>
 <li>
 Design enterprise customer data architectures including customer identity resolution, profile unification, source-agnostic ingestion, structured/unstructured data harmonization, segmentation frameworks, consent and governance layers, customer memory, and omnichannel data continuity.
 </li>
 <li>
 Develop customer knowledge and experience architectures that activate operational, behavioral, conversational, and contextual customer intelligence across AI, service, marketing, and customer engagement workflows.
 </li>
 <li>
 Present enterprise architecture blueprints for common patterns &mdash; including CRM lifecycle integration, CDP synchronization, DAM connectivity, customer knowledge activation, omnichannel handover, case and interaction history continuity, reporting/analytics extraction, and platform extensibility.
 
 
 </li>
 </ul>
 
 AI, Agentic &amp; Knowledge Leadership
 
 
 
 <ul>
 <li>
 Lead AI, knowledge, and agentic solution design by mapping customer ecosystems to Sprinklr AI+, conversational AI, LLM ecosystems, enterprise search, RAG frameworks, NLP engines, memory architectures, and autonomous workflow orchestration.
 </li>
 <li>
 Define architectures for agentic enterprise use cases such as AI copilots, autonomous customer service agents, knowledge assistants, intelligent routing, AI-driven workflow execution, retrieval-augmented generation (RAG), customer memory systems, and real-time decision intelligence.
 </li>
 <li>
 Design knowledge governance frameworks including content ingestion, semantic search, taxonomy design, vectorization strategies, metadata structures, knowledge lifecycle management, and enterprise-safe AI deployment.
 </li>
 <li>
 Advise on AI + customer data governance including guardrails, hallucination mitigation, memory controls, observability, consent frameworks, model governance, and human-in-the-loop safety.
 
 
 </li>
 </ul>
 
 Presales Discovery, Consulting &amp; Transformation
 
 
 
 <ul>
 <li>
 Lead strategic discovery workshops to assess customer technology stacks, customer data maturity, AI readiness, and enterprise transformation opportunities across CRM, CDP, ERP, martech, DAM, analytics, cloud, compliance, and AI ecosystems.
 </li>
 <li>
 Map customer current-state ecosystems into Sprinklr&rsquo;s unified platform, customer data, knowledge, and AI architecture while producing fit-gap analyses, phased transformation strategies, and extensibility roadmaps.
 </li>
 <li>
 Develop and deliver compelling technical demonstrations, AI showcases, and Proofs of Concept (POCs)highlighting customer data activation, bi-directional integration, knowledge orchestration, API-led extensibility, agentic AI, and unified customer experiences.
 </li>
 <li>
 Translate fragmented architectures into strategic business outcomes by identifying operational inefficiencies, customer experience gaps, AI opportunities, and transformation priorities.
 
 
 </li>
 </ul>
 
 Strategic Advisory &amp; Thought Leadership
 
 
 
 <ul>
 <li>
 Provide strategic guidance on enterprise architecture spanning authentication, customer identity, data governance, transformation pipelines, compliance, observability, rate management, knowledge governance, and AI safety.
 </li>
 <li>
 Collaborate across Sprinklr&rsquo;s product, platform, AI, architecture, and sales ecosystem to validate designs against current capabilities and future roadmap priorities.
 </li>
 <li>
 Support RFPs, executive presentations, and technical strategy related to platform design, customer data architecture, AI transformation, knowledge governance, security, and compliance.
 </li>
 <li>
 Serve as a subject matter expert on Sprinklr&rsquo;s platform + customer data + knowledge + AI + integration taxonomy, clearly articulating the value of unified architectures over fragmented ecosystems.
 </li>
 <li>
 Act as a trusted technical advisor to CIOs, Chief Digital Officers, Chief Data Officers, enterprise architects, AI leaders, and transformation teams by translating complex technical ecosystems into measurable business value.
 
 
 </li>
 </ul>
 
 Travel
 
 
 
 <ul>
 <li>
 Travel up to 40% for customer engagements, strategic workshops, partner enablement, executive advisory sessions, and industry events.
 
 
 </li>
 </ul>
 
 Education &amp; Experience
 
 
 
 
 Who You Are &amp; What Makes You Qualified
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, Engineering, or related field; Master&rsquo;s degree preferred.
 </li>
 <li>
 7+ years of experience in enterprise platform architecture spanning integrations, customer data, AI, knowledge systems, or cloud ecosystems.
 </li>
 <li>
 5+ years of experience architecting and demonstrating enterprise solutions in presales, solutions engineering, technical consulting, or transformation leadership roles with measurable revenue impact
 
 
 </li>
 </ul>
 
 Platform, Integration &amp; Technical Depth
 
 
 
 <ul>
 <li>
 Deep expertise in enterprise integration patterns including REST/GraphQL APIs, webhook orchestration, event-driven architecture, ETL/ELT pipelines, source-agnostic ingestion, identity systems, API gateways, and bi-directional SaaS connectivity.
 </li>
 <li>
 Hands-on experience with enterprise SaaS ecosystems including CRM, CDP, DAM, workforce management, analytics, martech, customer feedback, and operational systems.
 </li>
 <li>
 Strong proficiency with integration tooling and standards including OAuth 2.0, SAML/SSO, JSON/XML, iPaaS platforms, middleware, cloud integration ecosystems, and governance frameworks.
 </li>
 <li>
 Customer Data Architecture &amp; Knowledge Systems
 </li>
 <li>
 Deep expertise in customer data architecture and enterprise knowledge design, including customer identity resolution, profile unification, master data alignment, metadata strategy, taxonomy design, knowledge graphs, and structured/unstructured data harmonization across CX, CRM, CDP, and service ecosystems.
 </li>
 <li>
 Proven experience architecting customer knowledge and experience frameworks that unify operational, behavioral, conversational, and contextual data to power personalized journeys, AI copilots, agentic workflows, retrieval-augmented generation (RAG), and enterprise search.
 </li>
 <li>
 Strong understanding of customer experience data models including journey orchestration, interaction history, case lifecycle, segmentation, consent, privacy, customer memory, and omnichannel continuity.
 </li>
 <li>
 Hands-on experience designing enterprise knowledge architectures supporting content governance, ingestion pipelines, semantic search, vectorization strategies, metadata frameworks, knowledge lifecycle management, and real-time decision intelligence.
 </li>
 <li>
 Ability to transform fragmented ecosystems into a unified customer data + knowledge + experience architecturethat improves customer outcomes, AI accuracy, operational efficiency, and platform scalability.
 
 
 </li>
 </ul>
 
 AI, Agentic &amp; Data Intelligence
 
 
 
 <ul>
 <li>
 Strong knowledge of AI/ML, Generative AI, and agentic architectures including LLMs, NLP, RAG, enterprise search, vector systems, orchestration frameworks, memory systems, autonomous agents, and intelligent workflow automation.
 </li>
 <li>
 Experience designing agentic systems with governance, observability, trust layers, guardrails, lifecycle management, and enterprise-safe deployment strategies.
 </li>
 <li>
 Familiarity with cloud data ecosystems such as Snowflake, Databricks, AWS, Azure, GCP, or equivalent enterprise data intelligence platforms.
 
 
 </li>
 </ul>
 
 Business Consulting &amp; Leadership
 
 
 
 <ul>
 <li>
 Strong capability to perform deep discovery across customer architecture, customer data maturity, AI readiness, and operational transformation needs while aligning phased adoption strategies.
 </li>
 <li>
 Excellent communication skills with the ability to influence enterprise architects, CIOs, CDOs, IT decision-makers, and C-suite executives by translating platform, data, AI, and customer experience architectures into business outcomes.
 </li>
 <li>
 Experience contributing to thought leadership, sales enablement, partner ecosystem growth, strategic transformation, and innovation programs.
 
 
 </li>
 </ul>
 
 Governance, Privacy &amp; Security
 
 
 
 <ul>
 <li>
 Strong knowledge of security, privacy, compliance, and responsible AI frameworks including SOC 2, GDPR, CCPA, customer consent frameworks, governance-by-design, and enterprise-safe customer data activation.
 
 
 </li>
 </ul>
 
 Ideal Differentiators
 
 
 
 <ul>
 <li>
 Experience with conversational AI, autonomous enterprise agents, customer memory systems, or enterprise AI transformation.
 </li>
 <li>
 Familiarity with CCaaS, CXM, customer service transformation, and unified customer engagement ecosystems.
 </li>
 <li>
 Ability to position Sprinklr as more than a platform &mdash; as a Unified Customer Experience, Customer Data, Knowledge, and Agentic AI Transformation Architecture.
 </li>
 <li>
 Passion for shaping the future of enterprise customer engagement through platform unification, customer intelligence, and autonomous AI innovation.
 
 
 </li>
 </ul>
 
 We focus on our mission
 
 : Sprinklr was founded in 2009 to solve a big problem: growing enterprise complexity that separated brands from their customers. Our vision was clear: to unify fragmented teams, tools and data &mdash; helping large organizations build deeper, more meaningful connections with the people they serve. Today, Sprinklr has a unified, AI-native platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing, and Sprinklr Insights. Sprinklr is here to do three things:
 
 
 <ul>
 <li>
 Lead a new category of enterprise software that we call Unified-CXM.
 </li>
 <li>
 Empower companies to deliver next generation, unified engagement journeys that reimagine the customer experience.
 </li>
 <li>
 Create a culture of customer obsession, with trust, teamwork, and accountability.
 
 
 </li>
 </ul>
 
 We believe in our product
 
 : Customers who value exceptional customer experiences have what they need on our single unified platform, built with an operating system approach on a single codebase. That means that everything &mdash; and everyone &mdash; can work together to service, respond, sell, and market to customers on the channels they prefer. While Unified Customer Experience Management (Unified-CXM) as a category is just getting started, we are well on our way to creating a no-compromise, unified approach to better customer experiences for the world&rsquo;s leading enterprise brands.
 
 
 
 We invest in our people
 
 : We offer a comprehensive suite of benefits designed to help each member of our team thrive. Sprinklr believes that you should be able to get the type of care you need for your personal well-being when you need it. We offer you and your family voluntary healthcare coverage in countries where applicable. We believe it is important to take time off &ndash; it is essential for your mental and physical wellbeing. We provide Sprinklrites with paid time off to recharge and spend time with loved ones. We want to grow our talent with purpose. Our open Mentoring Program is designed to create meaningful connections that support growth and amplify our focus.
 
 
 To learn more about employee benefits by region, click here.
 
 
 To learn more about all-things-Sprinklr, visit our candidate resource hub here.
 
 
 
 EEO - Our philosophy
 
 : Our goal is to ensure every employee feels like they belong and are operating in a collaborative environment. We fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we&rsquo;re more innovative, creative, and successful.
 
 
 Sprinklr is proud to be an equal-opportunity workplace and complies with all applicable federal, state, and local fair employment practices laws. We are committed to equal employment opportunity regardless of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable law.
 
 
 Reasonable accommodations are available upon request during the interview process. To request an accommodation, please work directly with your recruitment coordinator or recruiter.
 
 
 
 Warning about Recruiting Scams:
 
 Please be vigilant for recruiting scams impersonating Sprinklr. Sprinklr will never ask you for money, to pay for equipment, or for unnecessary personal information during the interview process. Sprinklr will also never pay in Bitcoin or send email communications from our executives. Please review the Federal Trade Commission's advice to avoid these types of scams.
 
 
 If you are contacted by someone whom you suspect may not be appropriately representing Sprinklr, please do not engage and block their email or phone number immediately.
</div>

Lead Solutions Architect

SSANGYONG ENGINEERING & CONSTRUCTION COMPANY LTD

Job Title: Architect Engineer &ndash; High-Rise Building ProjectsJob Summary:We are seeking a highly skilled and experienced Architect Engineer to join our dynamic team for a prestigious high-rise building project in Dubai. The ideal candidate will have a proven track record in the architectural design and execution of high-rise or large-scale commercial projects, demonstrating exceptional creativity, technical expertise, and coordination skills.Key Responsibilities:<ul><li>Lead the architectural design and development process from concept through completion for high-rise building projects.</li><li>Prepare detailed architectural drawings, construction documents, and specifications in compliance with local building codes and standards.</li><li>Collaborate with multidisciplinary teams including structural, MEP, and civil engineers to ensure design integration.</li><li>Coordinate with clients, consultants, contractors, and authorities to obtain necessary approvals and permits.</li><li>Conduct site inspections to monitor construction progress and ensure alignment with design intent and quality standards.</li><li>Address design challenges or modifications as required throughout the construction phase.</li><li>Stay up to date with the latest architectural trends, materials, and technologies.</li><li>Ensure all architectural work meets sustainability, safety, and regulatory standards set by Dubai authorities (e.g., Dubai Municipality, Trakhees, RERA).</li></ul>Requirements:<ul><li>Bachelor's Degree in Architecture is required; a Master&rsquo;s Degree is preferred.</li><li>Minimum of five (5) years of experience in architectural engineering, with a strong focus on high-rise, mixed-use, or large-scale commercial building projects.</li><li>Proven experience working on high-rise building projects within the UAE or GCC region.</li><li>Strong knowledge of Dubai building codes, regulations, authority requirements, and approval procedures.</li><li>Hands-on experience coordinating with local authorities and obtaining project approvals in the UAE.</li><li>Extensive knowledge of fa&ccedil;ade systems, architectural finishes, and high-end detailing.</li><li>Proficient in industry-standard software, including AutoCAD, Revit, SketchUp, Adobe Creative Suite, and other BIM-related tools.</li><li>Strong understanding of Building Information Modeling (BIM) processes and multidisciplinary project coordination.</li><li>Excellent project management, coordination, and time management skills with the ability to handle multiple tasks and deadlines.</li><li>Strong verbal and written communication skills in English.</li><li>UAE experience is highly preferred.</li><li>Professional certification or membership with a recognized engineering or architectural body (e.g., UAE Society of Engineers or equivalent) is an advantage.</li></ul>Skills &amp; Competencies<ul><li>Strong technical and design coordination skills</li><li>Excellent understanding of construction methods and materials</li><li>Ability to interpret and review complex architectural drawings</li><li>Strong problem-solving and decision-making abilities</li><li>Good communication and stakeholder coordination skills</li><li>Attention to detail and quality-focused mindset</li></ul>Key Interfaces<ul><li>Project Manager / Construction Manager</li><li>Design Consultants</li><li>Structural &amp; MEP Engineers</li><li>QA/QC Team</li><li>Contractors &amp; Subcontractors</li><li>Authorities (Dubai Municipality, Civil Defense, etc.)</li></ul>Preferred Attributes<ul><li>Experience working on iconic or large-scale high-rise developments</li><li>Knowledge of sustainable design practices and green building standards</li><li>Ability to manage multiple design packages simultaneously</li><li>Strong leadership and team coordination skills</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Total Yrs of UAE Experience:</li><li>Expected Salary:</li><li>Notice Period:</li></ul>Work Location: In person

Architect Engineer

Confidential

OverviewThe IT Solution Architect will play a critical role in the design, implementation, deployment, and adoption of IT solutions across the organization. This role will be responsible for ensuring that solutions are scalable, secure, and aligned with business needs. You will work closely with various stakeholders and vendors to ensure that the solutions meet current requirements and are future-ready. Key Responsibilities1. Project Coordination:<ul><li>Plan, consult, and coordinate projects related to application design, development, and implementation.</li><li>Collaborate with cross-functional teams to ensure timely and successful project delivery.</li><li>Oversee the alignment of project goals with business requirements, ensuring seamless integration and functionality.</li></ul>2. Application Management:<ul><li>Maintain, customize, and enhance business applications based on user requirements.</li><li>Collaborate with end-users to understand their needs and ensure the solution is tailored accordingly.</li><li>Perform application upgrades, patches, and configuration changes as necessary to improve system performance.</li></ul>3. Solution Architecture Design:<ul><li>Define and document the overall solution architecture, ensuring alignment with business objectives.</li><li>Work closely with stakeholders to understand business needs and design technical solutions that address these requirements.</li><li>Evaluate and select appropriate technologies, platforms, and tools for the solution.</li></ul>4. Architectural Standards and Best Practices:<ul><li>Develop and maintain architectural standards, guidelines, and best practices to ensure consistency across projects.</li><li>Ensure solutions meet performance, scalability, and security requirements to support the organization's goals.</li><li>Continuously review and improve architectural standards in line with emerging trends and technologies.</li></ul>5. Technical Leadership and Support:<ul><li>Provide technical guidance and direction to development teams, ensuring that solutions are implemented as designed.</li><li>Identify and mitigate potential risks and issues related to the architecture and solution delivery.</li><li>Participate in post-implementation reviews to assess the solution’s performance and suggest improvements.</li></ul>   6. Continuous Improvement:<ul><li>Actively contribute to the continuous improvement of existing solutions, ensuring they remain efficient and relevant.</li><li>Stay informed of the latest developments in technologies and frameworks to recommend upgrades or changes to enhance system performance.</li></ul>Qualifications:<ul><li>Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>Certifications: Relevant certifications in D365 F&amp;O, CRM, and other relevant streams like Azure or AWS platforms.</li><li>Experience: Minimum of 10 years of experience in application management, systems engineering, or software development, with significant experience in solution architecture.</li><li>Skills and Competencies:<ul><li>Strong problem-solving skills and analytical thinking.</li><li>Expertise in databases and SQL.</li><li>Solid knowledge of enterprise systems like MS D365 CRM, F&amp;O, Business Central.</li><li>Strong understanding of cloud computing concepts and architecture (Azure or AWS).</li><li>Excellent communication skills to articulate technical solutions to both technical and non-technical stakeholders.</li></ul></li></ul>Reporting Line: You will report to the Senior Manager - Group IT Applications.

IT Solution Architect

Beam AI

<div>Beam AI is building the operating layer for AI-native enterprises. Our platform helps organisations automate complex workflows using self-learning AI agents that continuously improve through real-world usage. From fast-growing startups to Fortune 500 companies, we help teams move beyond experimentation and deploy AI that delivers measurable business outcomes.
We're building a future where AI doesn't just assist work&mdash;it becomes an active part of how organisations operate, learn, and scale. To learn more, visit https://beam.ai/ .
About the Team
Beam's GTM team is responsible for bringing AI agents into real enterprise environments. We work closely across sales, marketing, product, and deployment to identify high-value use cases, shape solutions, and help customers realise measurable outcomes.
This is not a traditional SaaS sales organisation. We're still defining what great looks like, building new motions, and creating repeatable ways to bring AI into enterprise operations. You'll work alongside experienced GTM leaders, Account Executives, and Solutions Engineers in a highly collaborative environment focused on learning, experimentation, and execution.
About the Role
Beam AI is building the leading AI agent platform for enterprise automation, and we're scaling our outbound motion to meet the growing demand for AI agents across the GCC. We're hiring a Sales Development Representative to power the top of our pipeline in the Gulf &mdash; owning outbound prospecting into enterprises and government-linked groups across the UAE, Saudi Arabia, Qatar, Bahrain, Kuwait, and Oman, qualifying inbound interest, and partnering with Account Executives and GTM Leads to land enterprise opportunities across the region.
This is one of the most consequential roles on Beam's GTM team. You'll run outbound messaging, discovery, and qualification on Beam's most strategic GCC accounts and you'll do it inside live enterprise sales cycles, alongside the AEs and GTM leadership driving the motion. You'll play an essential role in how complex AI deals get won in the region, own the top of the funnel for Beam's biggest GCC opportunities, and develop the skills that compound into broader GTM ownership over time.
You will work closely with AEs, Vertical Leads, Marketing, and Solutions Engineering to identify the right accounts, craft sharp outreach in English and Arabic, and convert curiosity into qualified meetings.
Responsibilities<ul><li>
Research target GCC accounts, identify decision-makers across operations, customer experience, finance, IT, and government-linked enterprises, and personalize outreach with insight that reflects each prospect's business context.</li><li>
Qualify inbound leads against ICP criteria and route them to the relevant AE at speed.</li><li>
Generate qualified meetings for Account Executives through targeted, multi-channel outbound (email, phone, LinkedIn, WhatsApp Business, video) &mdash; adapting cadence and channel mix to regional buying behavior.</li><li>
Partner with AEs and GTM Leads on account planning, territory strategy, and outbound sequencing across the UAE, KSA, and broader GCC.</li><li>
Maintain disciplined CRM hygiene, accurate pipeline data, and clean handoff notes.</li><li>
Proactively collaborate with the marketing team to run experiments on messaging, sequences, and channels &mdash; feed learnings back into the GTM team.</li><li>
Consistently exceed monthly targets including qualified meetings booked and accepted opportunities.</li><li>
Stay current on the AI agent space, Beam's product, Vision 2030 / national AI strategies, and the industries we sell into to hold an informed conversation with senior regional buyers.</li></ul> 

Requirements 
<ul><li>
Track record of high performance through SDR/BDR roles, internships, entrepreneurial projects, competitive environments, student sales organisations, or other goal-oriented experiences.</li></ul><ul><li>
Strong written and verbal communication skills with a sharp grasp of the AI agent space, able to hold credible, influential conversations with enterprise stakeholders from day one.</li><li>
Hands-on experience with a CRM (Salesforce, HubSpot) and outbound tools (Outreach, SalesLoft, Apollo, or equivalent).</li><li>
Strong interest in AI, automation, or enterprise software.</li><li>
Track record of meeting or exceeding pipeline / meeting targets.</li></ul>
Nice to Have<ul><li>
Prior experience selling into operations, customer experience, finance, IT, or regulated industries.</li><li>
Exposure to AI, automation, RPA, or workflow software categories.</li><li>
Fluent business English; professional Arabic preferred.</li><li>
Familiarity with verticalized GTM motions or named-account selling.</li><li>
Experience contributing to outbound playbook or sequence design.</li><li>
Background in a high-growth startup environment.</li></ul> 

Benefits 
At Beam, we're building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We're thoughtful about what we build, how we work, and who we hire. The problems we're solving are real. The systems we're building are complex. And the people here care deeply &mdash; about craft, about speed, and about doing work that actually matters. You won't find rigid hierarchies or endless process here. You'll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.
Our culture is shaped by our values in action:<ul><li>
AI-native thinking &mdash; Every teammate thinks in agentic workflows, uses AI tools daily, and looks for leverage through automation. AI isn't just what we build, it's how we operate.</li><li>
Customer obsession &mdash; We build with urgency and empathy, speak to customers early and often, and measure success through their outcomes.</li><li>
Speed as a habit &mdash; We ship fast, learn faster, and prioritise unblocking over perfection. We favour small experiments with tight feedback loops.</li><li>
Leverage-focused execution &mdash; We hire high-impact players, invest in the 20% that drives 80% of results, and value candid feedback.</li><li>
Highly aligned, loosely coupled &mdash; We align on outcomes, not tasks. You'll work independently, but never in isolation.</li><li>
Data-driven, human-guided &mdash; We seek clarity over comfort, speak up early, and use feedback to grow together.</li></ul>
If this sounds like the kind of work you want to do and the kind of team you want to grow with, we'd love to hear from you.</div>

Enterprise SDR

Salt

<div>
 
 
 Staff Full-Stack Engineer (Java + React)
 
 
 
 
 Building the Next Generation of Agentic AI Platforms
 
 
 
 
 
 
 My client is building the next generation of agentic platforms and AI-powered enterprise systems.
 
 
 As a
 
 Staff Full-Stack Engineer
 
 , you won&rsquo;t just ship features- you&rsquo;ll architect the core systems that power intelligent workflows at scale. You&rsquo;ll design both the
 
 brains and nervous system
 
 of the platform: robust Java backend services paired with high-quality React.js interfaces.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Design, build, and scale end-to-end full-stack systems
 </li>
 <li>
 Architect backend services in
 
 Java (Spring Boot / microservices)
 
 </li>
 <li>
 REST APIs
 </li>
 <li>
 Asynchronous workflows
 </li>
 <li>
 Distributed state management
 </li>
 <li>
 Build modern frontend applications using
 
 React.js + TypeScript
 
 </li>
 <li>
 Integrate LLM-based agents, RAG pipelines, vector stores, and orchestration workflows
 </li>
 <li>
 Define and own API contracts for frontend, third-party, and enterprise integrations
 </li>
 <li>
 Ensure system performance, reliability, observability, and security
 </li>
 <li>
 Champion clean architecture, testing strategies, CI/CD, and documentation
 </li>
 <li>
 Influence platform-level architecture decisions
 </li>
 <li>
 Mentor engineers and elevate engineering standards across the team
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 <ul>
 <li>
 9+ years of full-stack engineering experience
 </li>
 <li>
 Strong expertise in
 
 Java (Spring Boot / microservices)
 
 </li>
 <li>
 Deep experience building applications with
 
 React.js
 
 </li>
 <li>
 Experience with REST APIs, PostgreSQL, Redis, Kafka (or similar event systems)
 </li>
 <li>
 Strong frontend architecture and performance optimization skills
 </li>
 <li>
 Hands-on experience with GCP, Docker, and CI/CD pipelines
 </li>
 <li>
 Comfort operating in 0-to-1 and fast-scaling startup environments
 </li>
 <li>
 Strong communication skills and cross-functional collaboration ability
 </li>
 <li>
 Ownership mindset with a passion for building high-quality systems
 </li>
 </ul>
 
 
 
 
 *** Only successful candidates will be contacted ****
 
</div>

Staff Full Stack Engineer

Group AMANA

<div>
 
 Amana is seeking an experienced Data Platform Lead with deep expertise in Databricks, the Microsoft Azure ecosystem, and modern lakehouse architectures. The ideal candidate will play a central role in Amana's ongoing platform refresh, moving workloads from Synapse Analytics to a Databricks lakehouse with Unity Catalog, and building the technical foundation that powers analytics, AI, and governance across the enterprise. This role sits within Amana's Data Science, Governance &amp; AI Centre of Excellence, working alongside architects, engineers, analysts, data scientists, and AI engineers, with future growth opportunities into senior platform leadership.
 
 
 
 
 
 
 Why This Role Matters
 
 
 
 Amana operates across capital-intensive sectors where data reliability, cost discipline, and speed of insight are business-critical. The enterprise data platform is the backbone of every downstream analytics, AI, and governance initiative &mdash; from ERP-integrated reporting and predictive models to Agentic AI and Copilot rollouts across the group.
 
 
 You will be at the technical centre of this transformation, designing, building, and hardening the lakehouse that the rest of the function depends on.
 
 
 
 
 
 
 Core Responsibilities
 
 
 
 
 Lakehouse Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and deliver end-to-end Databricks lakehouse components &mdash; ingestion, transformation, semantic layer, and serving.
 </li>
 <li>
 Set and enforce Delta Lake and medallion architecture standards across bronze, silver, and gold layers.
 </li>
 <li>
 Lead the technical execution of the Synapse Analytics to Databricks migration, including parallel run, cutover, and decommissioning.
 </li>
 <li>
 Contribute to and sign off on reference designs, integration patterns, and architecture decision records.
 </li>
 </ul>
 
 
 
 
 
 Data Engineering &amp; Integration
 
 
 <ul>
 <li>
 Build and maintain robust ingestion and transformation pipelines from Amana's core enterprise systems: Oracle Fusion (Finance, HCM, P2P, CRM), Hyperion, CMiC, project and operations systems, SharePoint, and Power Platform.
 </li>
 <li>
 Apply strong CI/CD, DataOps, and infrastructure-as-code practices using Git, Azure DevOps, and Terraform or Bicep.
 </li>
 <li>
 Ensure platform reliability through monitoring, alerting, and structured incident response.
 </li>
 </ul>
 
 
 
 
 
 AI/ML &amp; Analytics Enablement
 
 
 <ul>
 <li>
 Build and operate feature store, MLOps, and LLMOps foundations on Databricks.
 </li>
 <li>
 Enable production-grade RAG, agent, and Copilot patterns in partnership with the Data Scientist and AI Engineer.
 </li>
 <li>
 Deliver Power BI semantic models, certified datasets, and self-service guardrails supporting the Amana Digital Academy and enterprise adoption.
 </li>
 </ul>
 
 
 
 
 
 Data Governance &amp; Trustworthy Data
 
 
 <ul>
 <li>
 Implement lineage, cataloguing, access control, data quality, and PDPL controls inside the platform using Unity Catalog and Microsoft Purview.
 </li>
 <li>
 Partner with the Data Governance Office to translate live policies into enforceable platform controls.
 </li>
 <li>
 Support regulatory, ethical, and internal compliance obligations across the data estate.
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Cost Discipline
 
 
 <ul>
 <li>
 Own FinOps hygiene on the platform: cluster policies, workload tiering, rightsizing, and chargeback readiness.
 </li>
 <li>
 Translate cloud cost outcomes into commercial terms understood by finance and business stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Technical Leadership
 
 
 <ul>
 <li>
 Work closely with the Data Architect, Data Engineer, Data Analyst, Data Scientist, and AI Engineer to set and uphold technical standards.
 </li>
 <li>
 Provide hands-on technical guidance and code review across the team.
 </li>
 <li>
 Translate business requirements into technical designs with clear delivery outcomes.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Minimum of 7 years in data engineering or data platform work, with strong hands-on delivery experience.
 </li>
 <li>
 At least 3 years hands-on with Databricks, Apache Spark, and Delta Lake at enterprise scale. Snowflake or BigQuery experience is acceptable where the CV shows a real Databricks migration.
 </li>
 <li>
 Contributed to the build or rebuild of an enterprise data platform serving multiple business domains.
 </li>
 <li>
 Deep hands-on experience with the Azure data stack: Databricks, ADLS, Azure Data Factory, Synapse, Azure SQL, Fabric.
 </li>
 <li>
 Direct experience integrating heavy ERP sources: Oracle Fusion, Hyperion, CMiC, or equivalent estates.
 </li>
 <li>
 Governance shipped to production using Unity Catalog or Microsoft Purview, with PDPL or GDPR controls operational, not theoretical.
 </li>
 <li>
 Practical FinOps outcomes on cloud spend.
 </li>
 <li>
 Strong on CI/CD, Git, Azure DevOps, and infrastructure-as-code (Terraform or Bicep).
 </li>
 <li>
 Excellent written and verbal communication skills across technical and business audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Direct experience of a Synapse Analytics to Databricks migration.
 </li>
 <li>
 Exposure to MLOps and LLMOps stacks: MLflow, feature store, vector stores, RAG, agent frameworks.
 </li>
 <li>
 Familiarity with Power BI semantic models and enterprise BI governance.
 </li>
 <li>
 Streaming and event-driven experience: Kafka, Event Hubs, Structured Streaming.
 </li>
 <li>
 Multi-entity, multi-country group exposure with mixed data residency considerations.
 </li>
 <li>
 Industry experience in construction, engineering services, manufacturing, energy, or logistics.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 
 
 
 Mandatory:
 
 
 
 <ul>
 <li>
 
 Databricks Certified Data Engineer Professional
 
 (Candidates holding the Associate level will be considered on the condition that Professional is achieved within 6 months of joining.)
 </li>
 </ul>
 
 
 Preferred (one or more):
 
 
 <ul>
 <li>
 
 Databricks Certified Machine Learning Professional
 
 </li>
 <li>
 
 Databricks Certified Generative AI Engineer Associate
 
 </li>
 <li>
 
 Microsoft Certified: Azure Data Engineer Associate
 
 (DP-203 / DP-700)
 </li>
 <li>
 
 Microsoft Certified: Fabric Analytics Engineer Associate
 
 (DP-600)
 </li>
 <li>
 
 Microsoft Certified: Azure Solutions Architect Expert
 
 </li>
 <li>
 
 Certified Data Management Professional (CDMP)
 
 &mdash; DAMA
 </li>
 </ul>
 
 
 Education
 
 
 
 M.Tech / B.E. / B.Tech (Computer Science, Information Systems, IT) / MCA / MCS.
 
</div>

Data Platform Lead

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